Flow-induced vibration response analysis of windshield of high-speed train based on proper orthogonal decomposition and pseudo excitation method

The flow-induced vibration of the outer windshield of high-speed train intensifies as the train's speed increases, impacting stability and safety during operation. The vibration characteristics of outer windshields are crucial for optimizing higher-speed train design. In this paper, proper orthogonal decomposition (POD) in conjunction with the pseudo excitation method (PEM) is applied for flow-induced vibration analysis of windshield. The dynamic model of the windshield is established by mode superposition method to reduce the degrees of freedom of the windshield structure. By utilizing the proper orthogonal decomposition and pseudo excitation method (POD-PEM), the accurate frequency characteristics of the flow-induced vibration dynamics of the windshield can be obtained efficiently. The calculation results are compared with the time-domain response to verify the accuracy and the proposed method. The results from the reduced-order model indicate that this method significantly improves the calculation efficiency. This study can provide a reference for the evaluation and optimization of high-speed train windshields.

Authors

Institutions

Publication Details

Journal
Engineering Applications of Computational Fluid Mechanics
Published
2025-02-07
DOI
https://doi.org/10.1080/19942060.2025.2460657
Citations
2
Primary Topic
Aerodynamics and Fluid Dynamics Research
Type
article
Field-Weighted Citation Impact
9.99

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Flow-induced vibration response analysis of windshield of high-speed train based on proper orthogonal decomposition and pseudo excitation method

Xiao Liu, Xiangyang Liu, Pengxiang Lv
2 citations
Engineering Applications of Computational Fluid Mechanics
Aerodynamics and Fluid Dynamics Research
9.99
article

Flow-induced vibration response analysis of windshield of high-speed train based on proper orthogonal decomposition and pseudo excitation method

Xiao Liu, Xiangyang Liu, Pengxiang Lv
article en
2 citations

Abstract

The flow-induced vibration of the outer windshield of high-speed train intensifies as the train's speed increases, impacting stability and safety during operation. The vibration characteristics of outer windshields are crucial for optimizing higher-speed train design. In this paper, proper orthogonal decomposition (POD) in conjunction with the pseudo excitation method (PEM) is applied for flow-induced vibration analysis of windshield. The dynamic model of the windshield is established by mode superposition method to reduce the degrees of freedom of the windshield structure. By utilizing the proper orthogonal decomposition and pseudo excitation method (POD-PEM), the accurate frequency characteristics of the flow-induced vibration dynamics of the windshield can be obtained efficiently. The calculation results are compared with the time-domain response to verify the accuracy and the proposed method. The results from the reduced-order model indicate that this method significantly improves the calculation efficiency. This study can provide a reference for the evaluation and optimization of high-speed train windshields.

Engineering Applications of Computational Fluid MechanicsVol. 19(1)
Central South University (CN), Ministry of Transport (CN), Changsha University of Science and Technology (CN)
National Key Research and Development Program of China
Affordable and clean energy
Openalex Percentile: Top 3%
Aerodynamics and Fluid Dynamics Research
9.99
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.